First working version

.gitmodules

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+[submodule "PyCTBN"]
+	path = deps/PyCTBN
+	url = ../PyCTBN.git
+	branch = master

benchmark.py

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+#!/usr/bin/env python3
+
+import glob
+import os
+
+from pyctbn.legacy import JsonImporter
+from pyctbn.legacy import SamplePath
+from pyctbn.legacy import StructureConstraintBasedEstimator
+
+
+def structure_constraint_based_estimation_example():
+    # <read the json files in ./data path>
+    read_files = glob.glob(os.path.join('./', "*.json"))
+    # <initialize a JsonImporter object for the first file>
+    importer = JsonImporter(file_path=read_files[0], samples_label='samples',
+                            structure_label='dyn.str', variables_label='variables',
+                            time_key='Time', variables_key='Name')
+    # <import the data at index 0 of the outer json array>
+    importer.import_data(0)
+    # construct a SamplePath Object passing a filled AbstractImporter object
+    s1 = SamplePath(importer=importer)
+    # build the trajectories
+    s1.build_trajectories()
+    # build the information about the net
+    s1.build_structure()
+    # construct a StructureEstimator object passing a correctly build SamplePath object
+    # and the independence tests significance, if you have prior knowledge about
+    # the net structure create a list of tuples
+    # that contains them and pass it as known_edges parameter
+    se1 = StructureConstraintBasedEstimator(sample_path=s1, exp_test_alfa=0.1, chi_test_alfa=0.1,
+                                            known_edges=[], thumb_threshold=25)
+    # call the algorithm to estimate the structure
+    se1.estimate_structure()
+    # obtain the adjacency matrix of the estimated structure
+    print(se1.adjacency_matrix())
+    # save the estimated structure  to a json file
+    # (remember to specify the path AND the .json extension)....
+    se1.save_results('./results0.json')
+    # ...or save it also in a graphical model fashion
+    # (remember to specify the path AND the .png extension)
+    se1.save_plot_estimated_structure_graph('./result0.png')
+
+structure_constraint_based_estimation_example()

deps/PyCTBN

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+Subproject commit 4ef741e7f77351d7c80c48d4dc617c3735e422eb